{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nuclear Data\n",
    "\n",
    "PyNE offers a comprehensive data module that serves as a top-level interface for various fundamental nuclear data requirements. Its primary objective is to provide rapid access to exceptionally accurate data. The data is sourced from the `nuc_data.h5` library, encompassing a basic collection of information obtained from public sources. However, PyNE goes a step further and attempts to incorporate an interface for proprietary or export-controlled data, including **CINDER** cross sections, if available.\n",
    "\n",
    "The data module within PyNE encompasses all the functionality related to nuclear data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyne import data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Atomic Mass [amu]\n",
    "The `atomic_mass()` function can be utilized to determine the atomic mass of a specific nuclide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "235.04392819"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# atomic mass of U-235\n",
    "data.atomic_mass('U235')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Natural Abundance Ratios\n",
    "The `natural_abund()` function can be utilized to determine the natural abundance of a specific nuclide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.007204"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# natural abundance of U-235\n",
    "data.natural_abund('U235')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# natural abundance of Pu-239\n",
    "data.natural_abund('Pu-239')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Half Lives (s)\n",
    "The `half_life()` function can be employed to calculate the duration it takes for half of a radionuclide to undergo decay, commonly referred to as the half-life."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.409993568e+17"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# half life of U-238\n",
    "data.half_life('U-238')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decay Constants (1/s)\n",
    "The `decay_const()` function provides a means to determine the decay constant, which is an alternative measure of the rate at which radioactive decay occurs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.915959875924379e-18"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# decay constant of U-238\n",
    "data.decay_const('U-238')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decay Children\n",
    "The `decay_children()` function retrieves the decay children of a given nuclide. It takes a nuclide as input and returns a set of the child nuclides resulting from the decay of the input nuclide. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set([360860000, 380860000])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# decay children of Rb86\n",
    "data.decay_children('Rb86')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By utilizing the `nucname` module in PyNE, we can retrieve the names of each decay children. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rb86 decays to 2 isotopes.\n",
      "The 1th daughter is Kr86\n",
      "The 2th daughter is Sr86\n",
      "\n",
      "C14 decays to 1 isotope: N14\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyne import nucname\n",
    "\n",
    "isotopes = ['Rb86', 'C14']  # Example list of isotopes\n",
    "\n",
    "for isotope in isotopes:\n",
    "    decay_children = data.decay_children(isotope)\n",
    "    num_children = len(decay_children)\n",
    "    daughters = [nucname.name(daughter) for daughter in decay_children]\n",
    "\n",
    "    if num_children == 1:\n",
    "        print(f\"{isotope} decays to 1 isotope: {daughters[0]}\")\n",
    "    else:\n",
    "        print(f\"{isotope} decays to {num_children} isotopes.\")\n",
    "        for i in range(num_children):\n",
    "            print(f\"The {i+1}th daughter is {daughters[i]}\")\n",
    "    print()  # Print an empty line for separation\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Branch Ratio\n",
    "The `branch_ratio()` function is used to determine the branch ratio, which represents the fraction of decay events from a specific parent nuclide to a particular daughter nuclide. This function takes a pair of nuclides as input (from parent nuclide to daughter nuclide) and returns the corresponding branch ratio as a fraction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rb86 decays to  Kr86  with a branch ratio of  5.2e-05\n"
     ]
    }
   ],
   "source": [
    "print(\"Rb86 decays to \",nucname.name(360860000), \" with a branch ratio of \", data.branch_ratio('Rb86', 360860000))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Neutron Scattering Lengths [cm]\n",
    "The PyNE data module provides three functions to calculate different types of bound scattering lengths for a given nuclide:\n",
    "\n",
    "`b()`: This function calculates the bound scattering length of a nuclide and returns the result in centimeters (cm).\n",
    "\n",
    "`b_coherent()`: This function specifically calculates the coherent bound scattering length of a nuclide and provides the result in centimeters (cm).\n",
    "\n",
    "`b_incoherent()`: This function is used to find the incoherent bound scattering length of a nuclide, also in centimeters (cm)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.554930849083787e-12"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.b('H1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-3.7406e-13+0j)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.b_coherent('H1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2.5274000000000003e-12+0j)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.b_incoherent('H1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Half-life Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Half-life [s]')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib\n",
    "matplotlib.rc('font', family='serif', size=14)\n",
    "import matplotlib.pyplot as plt\n",
    "from pyne import nucname, nuc_data\n",
    "import tables as tb\n",
    "\n",
    "# open nuc_data file\n",
    "f = tb.open_file(nuc_data)\n",
    "\n",
    "# get a map between nucleon numbers and half-lives\n",
    "NuclearName= list(map(lambda x:int(x),f.root.decay.level_list[:]['nuc_id']))\n",
    "\n",
    "# retrieves a nuclide's nucleon number\n",
    "anums = list(map(nucname.anum, NuclearName))\n",
    "\n",
    "#plot\n",
    "fig = plt.figure(figsize=(13,7))\n",
    "plt.semilogy(anums, f.root.decay.level_list[:]['half_life'], 'ko', ms=1, alpha=0.3)\n",
    "plt.xlabel('A')\n",
    "plt.ylabel('Half-life [s]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ENSDF decay data\n",
    "\n",
    "The ENSDF data interface offers a basic functionality to access information from the ENSDF dataset. However, there is also an extended interface available that provides access to a significant portion of the decay data within the ENSDF dataset. To illustrate this, let's consider Cs-137 as an example.\n",
    "\n",
    "By utilizing the extended interface, you can retrieve decay data either by specifying the parent state ID or by specifying the decay energy. When querying decay data by parent state ID, the interface returns a list of gamma ray level pairs from the ENSDF decay data associated with the given parent state ID. For Cs-137, the corresponding decay pairs would be obtained as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(561370001, 561370000), (561370002, 561370000)]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.gamma_from_to_byparent(551370000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, you can obtain a list of gamma ray energies, along with their associated errors, by providing the parent state ID using the extended interface. In the case of Cs-137, you can retrieve the gamma ray energies as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(283.5, 0.1), (661.657, 0.003)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.gamma_energy(551370000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In addition to the previously mentioned functionalities, the extended ENSDF data interface also allows access to relative gamma intensities and alpha decay intensities. Let's continue with the example of Cs-137 and provide an improved explanation of the code:\n",
    "\n",
    "To obtain the relative gamma intensities associated with Cs-137, you can use the following code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0.00058, 8e-05), (85.1, 0.2)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intensities = data.gamma_photon_intensity(551370000)\n",
    "intensities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The returned intensities are relative values. To convert them to decays per 100 decays of the parent, you can calculate the photon branch ratio and multiply it by each relative intensity. Here's an updated version of the code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "photonbr, photonbr_error = data.decay_photon_branch_ratio(551370000, 561370000)\n",
    "final_intensities = []\n",
    "for item in intensities:\n",
    "    final_intensities.append(photonbr * item[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The resulting `final_intensities` list will contain the intensities of the gamma decays from Cs-137 to the specified daughter nucleus Cs137 per 100 decays of the parent Cs-137.\n",
    "\n",
    "Moving on to alpha decay, determining the alpha intensities involves considering the associated reaction. Here's an updated explanation and code for obtaining the alpha intensities of a parent nucleus:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cs137 gamma decays to Ba137 with intensities [0.00058, 85.1]\n",
      "U229 decays to Th226 with intensities [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n"
     ]
    }
   ],
   "source": [
    "from pyne import rxname\n",
    "\n",
    "# Obtain the alpha intensities per 100 alpha decays with no errors\n",
    "a_intensities = data.alpha_intensity(922290000)\n",
    "\n",
    "# Find the alpha branch intensity\n",
    "a_br = data.branch_ratio(922290000, rxname.child(922290000, 'a'))  # 'a' represents alpha decay\n",
    "\n",
    "# Calculate the intensities of each alpha per 100 decays of the parent\n",
    "a_final_intensities = []\n",
    "for item in a_intensities:\n",
    "    a_final_intensities.append(a_br * item)\n",
    "\n",
    "print(nucname.name(551370000), \"gamma decays to\", nucname.name(561370000), \"with intensities\", final_intensities)\n",
    "print(nucname.name(922290000), \"decays to\", nucname.name(rxname.child(922290000, 'a')), \"with intensities\", a_final_intensities)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another valuable use of the extended ENSDF data interface is to search for candidate gamma rays based on specific criteria. Let's explore two scenarios: searching for possible parents of a gamma ray with a specific energy and retrieving gamma ray level pairs based on gamma ray energy.\n",
    "\n",
    "To begin, let's search for possible parents of a gamma ray with an energy of 661.657 keV (with a default range of ±1 keV). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of possible parents of 661.657 ± 1 keV decay: 894\n"
     ]
    }
   ],
   "source": [
    "possible_parents = data.gamma_parent(661.657)\n",
    "print(f\"Number of possible parents of 661.657 ± 1 keV decay: {len(possible_parents)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, you can retrieve gamma ray level pairs directly based on a given gamma ray energy using the `gamma_from_to_byen` function. Here's an example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from_to = data.gamma_from_to_byen(661.657)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The from_to variable will store a list of gamma ray level pairs associated with the gamma ray energy of 661.657 keV. Each level pair consists of the initial level and the final level connected by the gamma ray transition.\n",
    "\n",
    "Additionally, if you are specifically interested in obtaining a list of gamma ray intensities for a given gamma ray energy, you can utilize the `gamma_photon_intensity_byen` function. Here's an example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "intensity_list = data.gamma_photon_intensity_byen(661.657)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The intensity_list contains the relative intensities of the gamma rays with an energy of 661.657 keV. These intensities provide information about the probability of each gamma ray emission from the parent nuclei."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of possible parents of 661.657 +- 1keV decay is 894 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# The default range is +- 1 keV, which returns a lot of stuff\n",
    "possible_parents = data.gamma_parent(661.657)\n",
    "print(\"number of possible parents of 661.657 +- 1keV decay is\", len(possible_parents), \"\\n\")\n",
    "\n",
    "# Or, return gamma ray level pairs based on gamma ray energy (another way to do it)\n",
    "from_to = data.gamma_from_to_byen(661.657)\n",
    "\n",
    "# Or, a list of gamma ray  intensities from a given gamman ray energy (another way to do it)\n",
    "intensity_list = data.gamma_photon_intensity_byen(661.657)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is a code snippet provided that performs a downselection process from the list of possible parent nuclei based on specific criteria. The selected criteria include non-zero branch ratios, intensities over 5% of all decays, and half-lives over 10 days. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Possible candidate: Ag110M\n",
      "Half-life: 21585312.0 s or 249.83 days or 0.6839972621492129 years\n",
      "Intensity: 95.61123%\n",
      "\n",
      "Possible candidate: Cs137\n",
      "Half-life: 949252608.0 s or 10986.72 days or 30.08 years\n",
      "Intensity: 85.1%\n",
      "\n",
      "Possible candidate: I126\n",
      "Half-life: 1117152.0 s or 12.93 days or 0.03540041067761807 years\n",
      "Intensity: 32.884800000000006%\n",
      "\n",
      "Possible candidate: Sb126\n",
      "Half-life: 1067040.0 s or 12.35 days or 0.03381245722108145 years\n",
      "Intensity: 99.6%\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from pyne import nucname\n",
    "\n",
    "hls = []          # List to store half-lives\n",
    "final_ints = []   # List to store final intensities\n",
    "parents = []      # List to store selected parent nuclei\n",
    "\n",
    "# Downselecting candidate gamma rays based on specific criteria\n",
    "for i, item in enumerate(possible_parents):\n",
    "    # Temporary fix for bug\n",
    "    if from_to[i][0] < 0:\n",
    "        continue\n",
    "\n",
    "    # Obtain the photon branch ratio for the gamma ray transition\n",
    "    phbr = data.decay_photon_branch_ratio(item, nucname.groundstate(from_to[i][0]))\n",
    "\n",
    "    # Select gamma rays with non-zero branch ratios, intensities over 5% of all decays,\n",
    "    # and parent nuclei with half-lives over 10 days\n",
    "    if phbr[0] > 0.0 and intensity_list[i][0] * phbr[0] > 5.0:\n",
    "        if nucname.groundstate(from_to[i][0]) != item and data.half_life(item, False) > 60.0 * 60.0 * 24.0 * 10.0:\n",
    "            parents.append(item)\n",
    "            hls.append(data.half_life(item, False))\n",
    "            final_ints.append(intensity_list[i][0] * phbr[0])\n",
    "\n",
    "# Print information for the downselected candidate gamma rays\n",
    "for i, item in enumerate(parents):\n",
    "    # Temporary fix for bug\n",
    "    if item < 0:\n",
    "        continue\n",
    "    print(\"Possible candidate: {0}\".format(nucname.name(item)))\n",
    "    print(\"Half-life: {0} s or {1} days or {2} years\".format(hls[i], hls[i] / (60.0 * 60.0 * 24.0), hls[i] / (60.0 * 60.0 * 24.0 * 365.25)))\n",
    "    print(\"Intensity: {0}%\".format(final_ints[i]))\n",
    "    print()  # Print an empty line for separation\n"
   ]
  }
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